R19: Is there any correlation between the following statements
(separately) and age, gender and highest level of education?
Gender
##
##
## (11-e) Oskan eesti viipekeelt piisavalt, et seda igas olukorras kasutada
##
## Call:
## lm(formula = likert ~ pred, data = df)
##
## Residuals:
## Min 1Q Median 3Q Max
## -3.2500 -0.7634 0.2366 1.2366 1.2366
##
## Coefficients:
## Estimate Std. Error t value Pr(>|t|)
## (Intercept) 4.2500 0.2022 21.016 <2e-16 ***
## pred(1-b) naine -0.4866 0.2418 -2.012 0.0463 *
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Residual standard error: 1.279 on 131 degrees of freedom
## Multiple R-squared: 0.02997, Adjusted R-squared: 0.02257
## F-statistic: 4.048 on 1 and 131 DF, p-value: 0.04628
##
##
##
## (11-h) Ma arvan, et enda väljendamiseks eesti keeles on mul rohkem sõnavara kui eesti viipekeeles
##
## Call:
## lm(formula = likert ~ pred, data = df)
##
## Residuals:
## Min 1Q Median 3Q Max
## -2.1477 -1.1477 -0.1477 1.8523 2.0244
##
## Coefficients:
## Estimate Std. Error t value Pr(>|t|)
## (Intercept) 2.9756 0.2336 12.740 <2e-16 ***
## pred(1-b) naine 0.1721 0.2828 0.609 0.544
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Residual standard error: 1.496 on 127 degrees of freedom
## Multiple R-squared: 0.002908, Adjusted R-squared: -0.004943
## F-statistic: 0.3704 on 1 and 127 DF, p-value: 0.5438
##
##
##
## (11-m) Viipekeelse emakeelega inimesed on keeleliselt halvemas olukorras kui eestikeelsed inimesed
##
## Call:
## lm(formula = likert ~ pred, data = df)
##
## Residuals:
## Min 1Q Median 3Q Max
## -2.7180 -0.7179 0.2821 1.2820 1.8919
##
## Coefficients:
## Estimate Std. Error t value Pr(>|t|)
## (Intercept) 3.1081 0.2280 13.632 <2e-16 ***
## pred(1-b) naine 0.6098 0.2769 2.203 0.0296 *
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Residual standard error: 1.387 on 113 degrees of freedom
## Multiple R-squared: 0.04117, Adjusted R-squared: 0.03269
## F-statistic: 4.852 on 1 and 113 DF, p-value: 0.02964
##
##
##
## (11-j) Minu eesti keele sõnavara ei ole alati piisav et end selgelt väljendada
##
## Call:
## lm(formula = likert ~ pred, data = df)
##
## Residuals:
## Min 1Q Median 3Q Max
## -2.05128 -1.05128 0.08791 1.08791 2.08791
##
## Coefficients:
## Estimate Std. Error t value Pr(>|t|)
## (Intercept) 3.0513 0.2234 13.657 <2e-16 ***
## pred(1-b) naine -0.1392 0.2670 -0.521 0.603
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Residual standard error: 1.395 on 128 degrees of freedom
## Multiple R-squared: 0.002118, Adjusted R-squared: -0.005678
## F-statistic: 0.2717 on 1 and 128 DF, p-value: 0.6031
##
##
##
## (11-g) Minu arvates on viipekeel midagi enamat kui keel, kuna see on osa kultuurist
##
## Call:
## lm(formula = likert ~ pred, data = df)
##
## Residuals:
## Min 1Q Median 3Q Max
## -3.5128 -0.4574 0.5426 0.5426 0.5426
##
## Coefficients:
## Estimate Std. Error t value Pr(>|t|)
## (Intercept) 4.51282 0.16017 28.175 <2e-16 ***
## pred(1-b) naine -0.05537 0.19052 -0.291 0.772
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Residual standard error: 1 on 131 degrees of freedom
## Multiple R-squared: 0.0006444, Adjusted R-squared: -0.006984
## F-statistic: 0.08447 on 1 and 131 DF, p-value: 0.7718
##
##
##
## (11-k) Ma tunnen end mugavalt suheldes eesti keeles kuulja inimesega
##
## Call:
## lm(formula = likert ~ pred, data = df)
##
## Residuals:
## Min 1Q Median 3Q Max
## -2.3663 -1.3663 0.1429 1.6337 2.1429
##
## Coefficients:
## Estimate Std. Error t value Pr(>|t|)
## (Intercept) 2.8571 0.2275 12.557 <2e-16 ***
## pred(1-b) naine 0.5092 0.2707 1.881 0.0621 .
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Residual standard error: 1.475 on 141 degrees of freedom
## Multiple R-squared: 0.02447, Adjusted R-squared: 0.01755
## F-statistic: 3.537 on 1 and 141 DF, p-value: 0.06207
##
##
##
## (11-d) Minu eesti viipekeele viipevara on piiratum kui eesti keele sõnavara
##
## Call:
## lm(formula = likert ~ pred, data = df)
##
## Residuals:
## Min 1Q Median 3Q Max
## -2.11429 -2.02326 -0.02326 1.88571 1.97674
##
## Coefficients:
## Estimate Std. Error t value Pr(>|t|)
## (Intercept) 3.11429 0.26273 11.854 <2e-16 ***
## pred(1-b) naine -0.09103 0.31164 -0.292 0.771
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Residual standard error: 1.554 on 119 degrees of freedom
## Multiple R-squared: 0.0007165, Adjusted R-squared: -0.007681
## F-statistic: 0.08532 on 1 and 119 DF, p-value: 0.7707
##
##
##
## (11-c) Ma tunnen end mugavalt kui kirjutan eesti keeles
##
## Call:
## lm(formula = likert ~ pred, data = df)
##
## Residuals:
## Min 1Q Median 3Q Max
## -2.6421 -0.6421 0.3579 1.3579 1.6191
##
## Coefficients:
## Estimate Std. Error t value Pr(>|t|)
## (Intercept) 3.3810 0.2065 16.374 <2e-16 ***
## pred(1-b) naine 0.2612 0.2480 1.053 0.294
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Residual standard error: 1.338 on 135 degrees of freedom
## Multiple R-squared: 0.00815, Adjusted R-squared: 0.0008027
## F-statistic: 1.109 on 1 and 135 DF, p-value: 0.2941
##
##
##
## (11-a) Ma tunnen end mugavalt, kui väljendan end eesti viipekeeles
##
## Call:
## lm(formula = likert ~ pred, data = df)
##
## Residuals:
## Min 1Q Median 3Q Max
## -3.5116 -0.5116 0.4884 0.9697 0.9697
##
## Coefficients:
## Estimate Std. Error t value Pr(>|t|)
## (Intercept) 4.5116 0.1936 23.303 <2e-16 ***
## pred(1-b) naine -0.4813 0.2319 -2.076 0.0397 *
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Residual standard error: 1.27 on 140 degrees of freedom
## Multiple R-squared: 0.02986, Adjusted R-squared: 0.02293
## F-statistic: 4.309 on 1 and 140 DF, p-value: 0.03974
##
##
##
## (11-l) Ma tunnen end mugavalt suheldes eesti viipekeeles viipekeelse inimesega
##
## Call:
## lm(formula = likert ~ pred, data = df)
##
## Residuals:
## Min 1Q Median 3Q Max
## -3.5455 -0.0891 0.4545 0.9109 0.9109
##
## Coefficients:
## Estimate Std. Error t value Pr(>|t|)
## (Intercept) 4.5455 0.1941 23.415 <2e-16 ***
## pred(1-b) naine -0.4563 0.2326 -1.962 0.0517 .
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Residual standard error: 1.288 on 143 degrees of freedom
## Multiple R-squared: 0.02621, Adjusted R-squared: 0.0194
## F-statistic: 3.849 on 1 and 143 DF, p-value: 0.05171
##
##
##
## (11-i) Minu eesti viipekeele viipevara ei ole alati piisav, et end selgelt väljendada
##
## Call:
## lm(formula = likert ~ pred, data = df)
##
## Residuals:
## Min 1Q Median 3Q Max
## -2.09 -1.80 0.20 1.20 2.20
##
## Coefficients:
## Estimate Std. Error t value Pr(>|t|)
## (Intercept) 2.8000 0.2330 12.020 <2e-16 ***
## pred(1-b) naine 0.2899 0.2805 1.034 0.303
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Residual standard error: 1.473 on 127 degrees of freedom
## Multiple R-squared: 0.008342, Adjusted R-squared: 0.0005338
## F-statistic: 1.068 on 1 and 127 DF, p-value: 0.3033
##
##
##
## (11-f) Tunnen end mugavalt kasutades samaaegselt eesti viipekeel ja eesti keelt
##
## Call:
## lm(formula = likert ~ pred, data = df)
##
## Residuals:
## Min 1Q Median 3Q Max
## -2.4778 -1.3846 0.5222 1.5222 1.6154
##
## Coefficients:
## Estimate Std. Error t value Pr(>|t|)
## (Intercept) 3.38462 0.21814 15.516 <2e-16 ***
## pred(1-b) naine 0.09316 0.26116 0.357 0.722
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Residual standard error: 1.362 on 127 degrees of freedom
## Multiple R-squared: 0.001001, Adjusted R-squared: -0.006865
## F-statistic: 0.1273 on 1 and 127 DF, p-value: 0.7219
##
##
##
## (11-b) Ma tunnen end mugavalt, kui väljendan end suuliselt eesti keeles
##
## Call:
## lm(formula = likert ~ pred, data = df)
##
## Residuals:
## Min 1Q Median 3Q Max
## -2.4062 -1.4062 0.2619 1.5938 2.2619
##
## Coefficients:
## Estimate Std. Error t value Pr(>|t|)
## (Intercept) 2.7381 0.2274 12.043 <2e-16 ***
## pred(1-b) naine 0.6682 0.2726 2.451 0.0155 *
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Residual standard error: 1.473 on 136 degrees of freedom
## Multiple R-squared: 0.04231, Adjusted R-squared: 0.03526
## F-statistic: 6.008 on 1 and 136 DF, p-value: 0.01551
##
##
##
## (5-e) See ei ole minu jaoks probleem, kui ma näen, et inimesed laenavad viipekeelses vestluses teiste viipekeelte viipeid.
##
## Call:
## lm(formula = likert ~ pred, data = df)
##
## Residuals:
## Min 1Q Median 3Q Max
## -2.5955 -0.5955 0.4045 1.4045 1.4390
##
## Coefficients:
## Estimate Std. Error t value Pr(>|t|)
## (Intercept) 3.56098 0.20453 17.41 <2e-16 ***
## pred(1-b) naine 0.03453 0.24719 0.14 0.889
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Residual standard error: 1.31 on 128 degrees of freedom
## Multiple R-squared: 0.0001524, Adjusted R-squared: -0.007659
## F-statistic: 0.01951 on 1 and 128 DF, p-value: 0.8891
##
##
##
## (5-l) Viipekeele kasutamine on tugev osa minu, kui viipekeelse kurdi identiteedist.
##
## Call:
## lm(formula = likert ~ pred, data = df)
##
## Residuals:
## Min 1Q Median 3Q Max
## -3.2716 -0.2716 0.2632 0.7284 0.7284
##
## Coefficients:
## Estimate Std. Error t value Pr(>|t|)
## (Intercept) 4.7368 0.1666 28.433 <2e-16 ***
## pred(1-b) naine -0.4652 0.2019 -2.304 0.023 *
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Residual standard error: 1.027 on 117 degrees of freedom
## Multiple R-squared: 0.0434, Adjusted R-squared: 0.03523
## F-statistic: 5.308 on 1 and 117 DF, p-value: 0.02299
##
##
##
## (5-a) Viipekeelsete kurtide kultuur saab edasi kesta ka ilma viipekeeleta.
##
## Call:
## lm(formula = likert ~ pred, data = df)
##
## Residuals:
## Min 1Q Median 3Q Max
## -0.6410 -0.3474 -0.3474 -0.3474 3.6526
##
## Coefficients:
## Estimate Std. Error t value Pr(>|t|)
## (Intercept) 1.6410 0.1809 9.070 1.44e-15 ***
## pred(1-b) naine -0.2937 0.2149 -1.367 0.174
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Residual standard error: 1.13 on 132 degrees of freedom
## Multiple R-squared: 0.01395, Adjusted R-squared: 0.006482
## F-statistic: 1.868 on 1 and 132 DF, p-value: 0.1741
##
##
##
## (5-f) Ma muudan oma viiplemise stiili, kui vestlusesse liitub kuulja inimene
##
## Call:
## lm(formula = likert ~ pred, data = df)
##
## Residuals:
## Min 1Q Median 3Q Max
## -2.550 -0.550 0.450 1.450 1.695
##
## Coefficients:
## Estimate Std. Error t value Pr(>|t|)
## (Intercept) 3.5500 0.2214 16.035 <2e-16 ***
## pred(1-b) naine -0.2451 0.2700 -0.908 0.366
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Residual standard error: 1.4 on 120 degrees of freedom
## Multiple R-squared: 0.006819, Adjusted R-squared: -0.001457
## F-statistic: 0.8239 on 1 and 120 DF, p-value: 0.3659
##
##
##
## (5-n) Viipekeelte kasutamine aitab viipekeelsetel kurtidel lastel ja viipekeelsetel kurtide perest pärit kuuljatel lastel (CODA) koolis paremini hakkama saamist, edu saavutamist
##
## Call:
## lm(formula = likert ~ pred, data = df)
##
## Residuals:
## Min 1Q Median 3Q Max
## -3.5111 -0.5111 0.4889 0.4889 0.5143
##
## Coefficients:
## Estimate Std. Error t value Pr(>|t|)
## (Intercept) 4.4857 0.1407 31.880 <2e-16 ***
## pred(1-b) naine 0.0254 0.1658 0.153 0.879
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Residual standard error: 0.8324 on 123 degrees of freedom
## Multiple R-squared: 0.0001907, Adjusted R-squared: -0.007938
## F-statistic: 0.02346 on 1 and 123 DF, p-value: 0.8785
##
##
##
## (5-j) Minu koolis õpetatakse/õpetati viipekeeli
##
## Call:
## lm(formula = likert ~ pred, data = df)
##
## Residuals:
## Min 1Q Median 3Q Max
## -2.9750 -1.7835 0.2165 2.2165 2.2165
##
## Coefficients:
## Estimate Std. Error t value Pr(>|t|)
## (Intercept) 3.9750 0.2807 14.162 < 2e-16 ***
## pred(1-b) naine -1.1915 0.3336 -3.572 0.000492 ***
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Residual standard error: 1.775 on 135 degrees of freedom
## Multiple R-squared: 0.08635, Adjusted R-squared: 0.07958
## F-statistic: 12.76 on 1 and 135 DF, p-value: 0.0004918
##
##
##
## (5-h) Minu kogukonnas toetakse piisavalt palju viipekeelte kasutamist.
##
## Call:
## lm(formula = likert ~ pred, data = df)
##
## Residuals:
## Min 1Q Median 3Q Max
## -3.0000 -0.6951 0.6098 1.0000 1.0000
##
## Coefficients:
## Estimate Std. Error t value Pr(>|t|)
## (Intercept) 4.3902 0.1785 24.594 <2e-16 ***
## pred(1-b) naine -0.3902 0.2139 -1.824 0.0704 .
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Residual standard error: 1.143 on 133 degrees of freedom
## Multiple R-squared: 0.02441, Adjusted R-squared: 0.01708
## F-statistic: 3.328 on 1 and 133 DF, p-value: 0.07036
##
##
##
## (5-d) See on hea tunne, kui ma saan suhelda viipekeeles.
##
## Call:
## lm(formula = likert ~ pred, data = df)
##
## Residuals:
## Min 1Q Median 3Q Max
## -3.7282 0.0909 0.2718 0.2718 0.2718
##
## Coefficients:
## Estimate Std. Error t value Pr(>|t|)
## (Intercept) 4.9091 0.0903 54.363 <2e-16 ***
## pred(1-b) naine -0.1809 0.1079 -1.677 0.0957 .
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Residual standard error: 0.599 on 145 degrees of freedom
## Multiple R-squared: 0.01903, Adjusted R-squared: 0.01227
## F-statistic: 2.813 on 1 and 145 DF, p-value: 0.09565
##
##
##
## (5-o) Ainult viipekeelsed kurdid peaksid viipekeeli õpetama.
##
## Call:
## lm(formula = likert ~ pred, data = df)
##
## Residuals:
## Min 1Q Median 3Q Max
## -3.00000 -1.96739 0.03261 1.03261 2.03261
##
## Coefficients:
## Estimate Std. Error t value Pr(>|t|)
## (Intercept) 4.0000 0.2343 17.071 < 2e-16 ***
## pred(1-b) naine -1.0326 0.2817 -3.665 0.000358 ***
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Residual standard error: 1.5 on 131 degrees of freedom
## Multiple R-squared: 0.09301, Adjusted R-squared: 0.08608
## F-statistic: 13.43 on 1 and 131 DF, p-value: 0.0003579
##
##
##
## (5-c) Minu jaoks on oluline kasutada viipekeelt iga päev.
##
## Call:
## lm(formula = likert ~ pred, data = df)
##
## Residuals:
## Min 1Q Median 3Q Max
## -3.3878 0.1628 0.6122 0.6122 0.6122
##
## Coefficients:
## Estimate Std. Error t value Pr(>|t|)
## (Intercept) 4.8372 0.1526 31.705 <2e-16 ***
## pred(1-b) naine -0.4495 0.1830 -2.456 0.0153 *
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Residual standard error: 1 on 139 degrees of freedom
## Multiple R-squared: 0.04159, Adjusted R-squared: 0.0347
## F-statistic: 6.032 on 1 and 139 DF, p-value: 0.01528
##
##
##
## (5-p) Viipekeelsete kurtide vanemate kuuljad lapsed (CODA) peaksid õpetama viipekeeli.
##
## Call:
## lm(formula = likert ~ pred, data = df)
##
## Residuals:
## Min 1Q Median 3Q Max
## -3.1842 -0.6456 0.3544 1.3544 1.3544
##
## Coefficients:
## Estimate Std. Error t value Pr(>|t|)
## (Intercept) 4.1842 0.2095 19.973 <2e-16 ***
## pred(1-b) naine -0.5386 0.2549 -2.113 0.0368 *
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Residual standard error: 1.291 on 115 degrees of freedom
## Multiple R-squared: 0.03737, Adjusted R-squared: 0.02899
## F-statistic: 4.464 on 1 and 115 DF, p-value: 0.03678
##
##
##
## (5-g) Olen kogenud olukordasid, kus viipekeeles suhtlemine tekitab minus halva, ebamugava tunde.
##
## Call:
## lm(formula = likert ~ pred, data = df)
##
## Residuals:
## Min 1Q Median 3Q Max
## -1.7527 -1.6944 0.2473 1.2473 2.3056
##
## Coefficients:
## Estimate Std. Error t value Pr(>|t|)
## (Intercept) 2.69444 0.24344 11.068 <2e-16 ***
## pred(1-b) naine 0.05824 0.28671 0.203 0.839
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Residual standard error: 1.461 on 127 degrees of freedom
## Multiple R-squared: 0.0003248, Adjusted R-squared: -0.007547
## F-statistic: 0.04127 on 1 and 127 DF, p-value: 0.8393
##
##
##
## (5-b) Viipekeele hoidmine on minu jaoks oluline.
##
## Call:
## lm(formula = likert ~ pred, data = df)
##
## Residuals:
## Min 1Q Median 3Q Max
## -3.7451 0.0455 0.2549 0.2549 0.2549
##
## Coefficients:
## Estimate Std. Error t value Pr(>|t|)
## (Intercept) 4.9545 0.1030 48.080 <2e-16 ***
## pred(1-b) naine -0.2094 0.1233 -1.699 0.0915 .
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Residual standard error: 0.6835 on 144 degrees of freedom
## Multiple R-squared: 0.01965, Adjusted R-squared: 0.01284
## F-statistic: 2.886 on 1 and 144 DF, p-value: 0.0915
##
##
##
## (5-m) Ma tunnen, et ühiskonnas toetatakse piisavalt viipekeele arendamist
##
## Call:
## lm(formula = likert ~ pred, data = df)
##
## Residuals:
## Min 1Q Median 3Q Max
## -2.3918 -1.3415 -0.3415 1.6082 1.6585
##
## Coefficients:
## Estimate Std. Error t value Pr(>|t|)
## (Intercept) 3.34146 0.20847 16.028 <2e-16 ***
## pred(1-b) naine 0.05029 0.24866 0.202 0.84
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Residual standard error: 1.335 on 136 degrees of freedom
## Multiple R-squared: 0.0003007, Adjusted R-squared: -0.00705
## F-statistic: 0.0409 on 1 and 136 DF, p-value: 0.84
##
##
##
## (5-k) Viipekeele kasutajate jaoks on oluline, et nad saaksid edasi anda oma keeleoskust tulevastele põlvkondadele.
##
## Call:
## lm(formula = likert ~ pred, data = df)
##
## Residuals:
## Min 1Q Median 3Q Max
## -3.7800 0.2200 0.2200 0.2379 0.2558
##
## Coefficients:
## Estimate Std. Error t value Pr(>|t|)
## (Intercept) 4.74419 0.11148 42.557 <2e-16 ***
## pred(1-b) naine 0.03581 0.13331 0.269 0.789
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Residual standard error: 0.731 on 141 degrees of freedom
## Multiple R-squared: 0.0005116, Adjusted R-squared: -0.006577
## F-statistic: 0.07218 on 1 and 141 DF, p-value: 0.7886
##
##
##
## (5-i) Viipekeeli peaks koolis õpetama.
##
## Call:
## lm(formula = likert ~ pred, data = df)
##
## Residuals:
## Min 1Q Median 3Q Max
## -3.5100 0.1429 0.4900 0.4900 0.4900
##
## Coefficients:
## Estimate Std. Error t value Pr(>|t|)
## (Intercept) 4.8571 0.1318 36.85 <2e-16 ***
## pred(1-b) naine -0.3471 0.1571 -2.21 0.0287 *
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Residual standard error: 0.8541 on 140 degrees of freedom
## Multiple R-squared: 0.03372, Adjusted R-squared: 0.02682
## F-statistic: 4.886 on 1 and 140 DF, p-value: 0.0287
Age
##
##
## (11-e) Oskan eesti viipekeelt piisavalt, et seda igas olukorras kasutada
##
## Call:
## lm(formula = likert ~ pred, data = df)
##
## Residuals:
## Min 1Q Median 3Q Max
## -3.026 -0.883 0.141 1.052 1.291
##
## Coefficients:
## Estimate Std. Error t value Pr(>|t|)
## (Intercept) 4.155961 0.387389 10.728 <2e-16 ***
## pred -0.005657 0.008547 -0.662 0.509
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Residual standard error: 1.292 on 132 degrees of freedom
## Multiple R-squared: 0.003307, Adjusted R-squared: -0.004244
## F-statistic: 0.438 on 1 and 132 DF, p-value: 0.5092
##
##
##
## (11-h) Ma arvan, et enda väljendamiseks eesti keeles on mul rohkem sõnavara kui eesti viipekeeles
##
## Call:
## lm(formula = likert ~ pred, data = df)
##
## Residuals:
## Min 1Q Median 3Q Max
## -2.39998 -1.28164 0.00238 1.33967 2.28641
##
## Coefficients:
## Estimate Std. Error t value Pr(>|t|)
## (Intercept) 2.05087 0.46185 4.441 1.93e-05 ***
## pred 0.02367 0.01007 2.350 0.0203 *
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Residual standard error: 1.466 on 127 degrees of freedom
## Multiple R-squared: 0.04168, Adjusted R-squared: 0.03413
## F-statistic: 5.523 on 1 and 127 DF, p-value: 0.02031
##
##
##
## (11-m) Viipekeelse emakeelega inimesed on keeleliselt halvemas olukorras kui eestikeelsed inimesed
##
## Call:
## lm(formula = likert ~ pred, data = df)
##
## Residuals:
## Min 1Q Median 3Q Max
## -2.7701 -0.6345 0.3655 1.3767 1.9640
##
## Coefficients:
## Estimate Std. Error t value Pr(>|t|)
## (Intercept) 4.007241 0.451472 8.876 1.07e-14 ***
## pred -0.011294 0.009866 -1.145 0.255
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Residual standard error: 1.422 on 115 degrees of freedom
## Multiple R-squared: 0.01127, Adjusted R-squared: 0.002669
## F-statistic: 1.31 on 1 and 115 DF, p-value: 0.2547
##
##
##
## (11-j) Minu eesti keele sõnavara ei ole alati piisav et end selgelt väljendada
##
## Call:
## lm(formula = likert ~ pred, data = df)
##
## Residuals:
## Min 1Q Median 3Q Max
## -2.18561 -1.13672 -0.03567 1.07842 2.60973
##
## Coefficients:
## Estimate Std. Error t value Pr(>|t|)
## (Intercept) 3.511568 0.428106 8.203 1.98e-13 ***
## pred -0.013038 0.009484 -1.375 0.172
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Residual standard error: 1.389 on 130 degrees of freedom
## Multiple R-squared: 0.01433, Adjusted R-squared: 0.006749
## F-statistic: 1.89 on 1 and 130 DF, p-value: 0.1716
##
##
##
## (11-g) Minu arvates on viipekeel midagi enamat kui keel, kuna see on osa kultuurist
##
## Call:
## lm(formula = likert ~ pred, data = df)
##
## Residuals:
## Min 1Q Median 3Q Max
## -3.5679 -0.4559 0.4852 0.5346 0.6522
##
## Coefficients:
## Estimate Std. Error t value Pr(>|t|)
## (Intercept) 4.647620 0.304568 15.260 <2e-16 ***
## pred -0.003796 0.006678 -0.568 0.571
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Residual standard error: 0.9939 on 133 degrees of freedom
## Multiple R-squared: 0.002423, Adjusted R-squared: -0.005078
## F-statistic: 0.323 on 1 and 133 DF, p-value: 0.5707
##
##
##
## (11-k) Ma tunnen end mugavalt suheldes eesti keeles kuulja inimesega
##
## Call:
## lm(formula = likert ~ pred, data = df)
##
## Residuals:
## Min 1Q Median 3Q Max
## -2.3843 -1.2029 -0.1148 1.6260 1.9785
##
## Coefficients:
## Estimate Std. Error t value Pr(>|t|)
## (Intercept) 2.762285 0.440236 6.275 4.05e-09 ***
## pred 0.010367 0.009633 1.076 0.284
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Residual standard error: 1.487 on 141 degrees of freedom
## Multiple R-squared: 0.008148, Adjusted R-squared: 0.001113
## F-statistic: 1.158 on 1 and 141 DF, p-value: 0.2837
##
##
##
## (11-d) Minu eesti viipekeele viipevara on piiratum kui eesti keele sõnavara
##
## Call:
## lm(formula = likert ~ pred, data = df)
##
## Residuals:
## Min 1Q Median 3Q Max
## -2.23259 -1.94907 -0.01507 1.62739 2.02160
##
## Coefficients:
## Estimate Std. Error t value Pr(>|t|)
## (Intercept) 2.846419 0.490585 5.802 5.44e-08 ***
## pred 0.004888 0.010893 0.449 0.654
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Residual standard error: 1.55 on 120 degrees of freedom
## Multiple R-squared: 0.001675, Adjusted R-squared: -0.006644
## F-statistic: 0.2014 on 1 and 120 DF, p-value: 0.6544
##
##
##
## (11-c) Ma tunnen end mugavalt kui kirjutan eesti keeles
##
## Call:
## lm(formula = likert ~ pred, data = df)
##
## Residuals:
## Min 1Q Median 3Q Max
## -2.6526 -0.6149 0.3625 1.3399 1.5806
##
## Coefficients:
## Estimate Std. Error t value Pr(>|t|)
## (Intercept) 3.231313 0.400507 8.068 3.22e-13 ***
## pred 0.007522 0.008757 0.859 0.392
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Residual standard error: 1.342 on 137 degrees of freedom
## Multiple R-squared: 0.005357, Adjusted R-squared: -0.001903
## F-statistic: 0.7379 on 1 and 137 DF, p-value: 0.3918
##
##
##
## (11-a) Ma tunnen end mugavalt, kui väljendan end eesti viipekeeles
##
## Call:
## lm(formula = likert ~ pred, data = df)
##
## Residuals:
## Min 1Q Median 3Q Max
## -3.3108 -0.2733 0.7517 0.8298 1.0830
##
## Coefficients:
## Estimate Std. Error t value Pr(>|t|)
## (Intercept) 4.454571 0.384931 11.572 <2e-16 ***
## pred -0.006251 0.008471 -0.738 0.462
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Residual standard error: 1.284 on 141 degrees of freedom
## Multiple R-squared: 0.003846, Adjusted R-squared: -0.003219
## F-statistic: 0.5444 on 1 and 141 DF, p-value: 0.4618
##
##
##
## (11-l) Ma tunnen end mugavalt suheldes eesti viipekeeles viipekeelse inimesega
##
## Call:
## lm(formula = likert ~ pred, data = df)
##
## Residuals:
## Min 1Q Median 3Q Max
## -3.4005 -0.2888 0.7033 0.8190 1.0625
##
## Coefficients:
## Estimate Std. Error t value Pr(>|t|)
## (Intercept) 4.568146 0.384347 11.88 <2e-16 ***
## pred -0.007982 0.008403 -0.95 0.344
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Residual standard error: 1.306 on 145 degrees of freedom
## Multiple R-squared: 0.006185, Adjusted R-squared: -0.0006692
## F-statistic: 0.9024 on 1 and 145 DF, p-value: 0.3437
##
##
##
## (11-i) Minu eesti viipekeele viipevara ei ole alati piisav, et end selgelt väljendada
##
## Call:
## lm(formula = likert ~ pred, data = df)
##
## Residuals:
## Min 1Q Median 3Q Max
## -2.4409 -1.7178 0.1351 1.1031 2.2502
##
## Coefficients:
## Estimate Std. Error t value Pr(>|t|)
## (Intercept) 2.429755 0.445890 5.449 2.47e-07 ***
## pred 0.012800 0.009849 1.300 0.196
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Residual standard error: 1.469 on 129 degrees of freedom
## Multiple R-squared: 0.01292, Adjusted R-squared: 0.005273
## F-statistic: 1.689 on 1 and 129 DF, p-value: 0.196
##
##
##
## (11-f) Tunnen end mugavalt kasutades samaaegselt eesti viipekeel ja eesti keelt
##
## Call:
## lm(formula = likert ~ pred, data = df)
##
## Residuals:
## Min 1Q Median 3Q Max
## -2.6385 -1.0082 0.3615 1.2568 1.9058
##
## Coefficients:
## Estimate Std. Error t value Pr(>|t|)
## (Intercept) 2.843011 0.412151 6.898 2.17e-10 ***
## pred 0.013956 0.009022 1.547 0.124
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Residual standard error: 1.346 on 128 degrees of freedom
## Multiple R-squared: 0.01835, Adjusted R-squared: 0.01068
## F-statistic: 2.393 on 1 and 128 DF, p-value: 0.1244
##
##
##
## (11-b) Ma tunnen end mugavalt, kui väljendan end suuliselt eesti keeles
##
## Call:
## lm(formula = likert ~ pred, data = df)
##
## Residuals:
## Min 1Q Median 3Q Max
## -2.52314 -1.33966 0.05351 1.33270 2.21077
##
## Coefficients:
## Estimate Std. Error t value Pr(>|t|)
## (Intercept) 2.055319 0.436446 4.709 6.02e-06 ***
## pred 0.026211 0.009571 2.739 0.00699 **
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Residual standard error: 1.461 on 137 degrees of freedom
## Multiple R-squared: 0.05191, Adjusted R-squared: 0.04499
## F-statistic: 7.501 on 1 and 137 DF, p-value: 0.006989
##
##
##
## (5-e) See ei ole minu jaoks probleem, kui ma näen, et inimesed laenavad viipekeelses vestluses teiste viipekeelte viipeid.
##
## Call:
## lm(formula = likert ~ pred, data = df)
##
## Residuals:
## Min 1Q Median 3Q Max
## -2.7780 -0.7089 0.2933 1.3111 1.7034
##
## Coefficients:
## Estimate Std. Error t value Pr(>|t|)
## (Intercept) 4.000958 0.418482 9.561 <2e-16 ***
## pred -0.008917 0.009094 -0.981 0.329
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Residual standard error: 1.306 on 130 degrees of freedom
## Multiple R-squared: 0.007341, Adjusted R-squared: -0.0002944
## F-statistic: 0.9614 on 1 and 130 DF, p-value: 0.3286
##
##
##
## (5-l) Viipekeele kasutamine on tugev osa minu, kui viipekeelse kurdi identiteedist.
##
## Call:
## lm(formula = likert ~ pred, data = df)
##
## Residuals:
## Min 1Q Median 3Q Max
## -3.6389 -0.4776 0.4418 0.6514 1.1514
##
## Coefficients:
## Estimate Std. Error t value Pr(>|t|)
## (Intercept) 5.122748 0.330201 15.514 <2e-16 ***
## pred -0.016129 0.007287 -2.213 0.0288 *
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Residual standard error: 1.022 on 119 degrees of freedom
## Multiple R-squared: 0.03954, Adjusted R-squared: 0.03146
## F-statistic: 4.898 on 1 and 119 DF, p-value: 0.02879
##
##
##
## (5-a) Viipekeelsete kurtide kultuur saab edasi kesta ka ilma viipekeeleta.
##
## Call:
## lm(formula = likert ~ pred, data = df)
##
## Residuals:
## Min 1Q Median 3Q Max
## -0.7510 -0.5282 -0.3640 -0.2467 3.7885
##
## Coefficients:
## Estimate Std. Error t value Pr(>|t|)
## (Intercept) 1.95039 0.34995 5.573 1.32e-07 ***
## pred -0.01173 0.00764 -1.535 0.127
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Residual standard error: 1.121 on 134 degrees of freedom
## Multiple R-squared: 0.01728, Adjusted R-squared: 0.009951
## F-statistic: 2.357 on 1 and 134 DF, p-value: 0.1271
##
##
##
## (5-f) Ma muudan oma viiplemise stiili, kui vestlusesse liitub kuulja inimene
##
## Call:
## lm(formula = likert ~ pred, data = df)
##
## Residuals:
## Min 1Q Median 3Q Max
## -2.6939 -0.8501 0.1877 1.2930 2.0760
##
## Coefficients:
## Estimate Std. Error t value Pr(>|t|)
## (Intercept) 4.24664 0.44400 9.565 <2e-16 ***
## pred -0.01974 0.00952 -2.074 0.0402 *
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Residual standard error: 1.386 on 122 degrees of freedom
## Multiple R-squared: 0.03404, Adjusted R-squared: 0.02613
## F-statistic: 4.3 on 1 and 122 DF, p-value: 0.04023
##
##
##
## (5-n) Viipekeelte kasutamine aitab viipekeelsetel kurtidel lastel ja viipekeelsetel kurtide perest pärit kuuljatel lastel (CODA) koolis paremini hakkama saamist, edu saavutamist
##
## Call:
## lm(formula = likert ~ pred, data = df)
##
## Residuals:
## Min 1Q Median 3Q Max
## -3.3984 -0.4477 0.4372 0.5128 0.7266
##
## Coefficients:
## Estimate Std. Error t value Pr(>|t|)
## (Intercept) 4.793084 0.266762 17.968 <2e-16 ***
## pred -0.006579 0.006000 -1.096 0.275
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Residual standard error: 0.8242 on 125 degrees of freedom
## Multiple R-squared: 0.009525, Adjusted R-squared: 0.001601
## F-statistic: 1.202 on 1 and 125 DF, p-value: 0.275
##
##
##
## (5-j) Minu koolis õpetatakse/õpetati viipekeeli
##
## Call:
## lm(formula = likert ~ pred, data = df)
##
## Residuals:
## Min 1Q Median 3Q Max
## -2.9697 -1.8362 0.1637 1.6304 3.0640
##
## Coefficients:
## Estimate Std. Error t value Pr(>|t|)
## (Intercept) 4.56985 0.56194 8.132 2.33e-13 ***
## pred -0.03334 0.01252 -2.663 0.00868 **
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Residual standard error: 1.804 on 136 degrees of freedom
## Multiple R-squared: 0.04956, Adjusted R-squared: 0.04257
## F-statistic: 7.091 on 1 and 136 DF, p-value: 0.008683
##
##
##
## (5-h) Minu kogukonnas toetakse piisavalt palju viipekeelte kasutamist.
##
## Call:
## lm(formula = likert ~ pred, data = df)
##
## Residuals:
## Min 1Q Median 3Q Max
## -3.3704 -0.4886 0.5409 0.8511 1.2648
##
## Coefficients:
## Estimate Std. Error t value Pr(>|t|)
## (Intercept) 3.484108 0.350325 9.945 <2e-16 ***
## pred 0.014772 0.007681 1.923 0.0566 .
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Residual standard error: 1.138 on 135 degrees of freedom
## Multiple R-squared: 0.02667, Adjusted R-squared: 0.01946
## F-statistic: 3.699 on 1 and 135 DF, p-value: 0.05656
##
##
##
## (5-d) See on hea tunne, kui ma saan suhelda viipekeeles.
##
## Call:
## lm(formula = likert ~ pred, data = df)
##
## Residuals:
## Min 1Q Median 3Q Max
## -3.6976 0.1376 0.1870 0.2584 0.4452
##
## Coefficients:
## Estimate Std. Error t value Pr(>|t|)
## (Intercept) 5.027206 0.175167 28.699 <2e-16 ***
## pred -0.005493 0.003818 -1.439 0.152
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Residual standard error: 0.597 on 147 degrees of freedom
## Multiple R-squared: 0.01388, Adjusted R-squared: 0.007175
## F-statistic: 2.07 on 1 and 147 DF, p-value: 0.1524
##
##
##
## (5-o) Ainult viipekeelsed kurdid peaksid viipekeeli õpetama.
##
## Call:
## lm(formula = likert ~ pred, data = df)
##
## Residuals:
## Min 1Q Median 3Q Max
## -2.3938 -1.4053 0.5976 1.6551 1.8535
##
## Coefficients:
## Estimate Std. Error t value Pr(>|t|)
## (Intercept) 3.549050 0.502524 7.062 8.43e-11 ***
## pred -0.005751 0.011104 -0.518 0.605
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Residual standard error: 1.575 on 132 degrees of freedom
## Multiple R-squared: 0.002028, Adjusted R-squared: -0.005532
## F-statistic: 0.2682 on 1 and 132 DF, p-value: 0.6054
##
##
##
## (5-c) Minu jaoks on oluline kasutada viipekeelt iga päev.
##
## Call:
## lm(formula = likert ~ pred, data = df)
##
## Residuals:
## Min 1Q Median 3Q Max
## -3.6474 0.1017 0.3526 0.5784 1.0552
##
## Coefficients:
## Estimate Std. Error t value Pr(>|t|)
## (Intercept) 5.26638 0.29696 17.734 <2e-16 ***
## pred -0.01673 0.00649 -2.578 0.011 *
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Residual standard error: 0.9931 on 141 degrees of freedom
## Multiple R-squared: 0.045, Adjusted R-squared: 0.03823
## F-statistic: 6.644 on 1 and 141 DF, p-value: 0.01097
##
##
##
## (5-p) Viipekeelsete kurtide vanemate kuuljad lapsed (CODA) peaksid õpetama viipekeeli.
##
## Call:
## lm(formula = likert ~ pred, data = df)
##
## Residuals:
## Min 1Q Median 3Q Max
## -2.9305 -0.8778 0.2486 1.1538 1.3645
##
## Coefficients:
## Estimate Std. Error t value Pr(>|t|)
## (Intercept) 4.299210 0.445633 9.647 <2e-16 ***
## pred -0.010536 0.009855 -1.069 0.287
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Residual standard error: 1.307 on 117 degrees of freedom
## Multiple R-squared: 0.009675, Adjusted R-squared: 0.00121
## F-statistic: 1.143 on 1 and 117 DF, p-value: 0.2872
##
##
##
## (5-g) Olen kogenud olukordasid, kus viipekeeles suhtlemine tekitab minus halva, ebamugava tunde.
##
## Call:
## lm(formula = likert ~ pred, data = df)
##
## Residuals:
## Min 1Q Median 3Q Max
## -2.01776 -1.49702 0.06235 1.23059 2.49497
##
## Coefficients:
## Estimate Std. Error t value Pr(>|t|)
## (Intercept) 3.41834 0.45458 7.520 8.21e-12 ***
## pred -0.01602 0.01010 -1.587 0.115
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Residual standard error: 1.444 on 129 degrees of freedom
## Multiple R-squared: 0.01915, Adjusted R-squared: 0.01155
## F-statistic: 2.519 on 1 and 129 DF, p-value: 0.1149
##
##
##
## (5-b) Viipekeele hoidmine on minu jaoks oluline.
##
## Call:
## lm(formula = likert ~ pred, data = df)
##
## Residuals:
## Min 1Q Median 3Q Max
## -3.7578 0.1162 0.1626 0.2422 0.4677
##
## Coefficients:
## Estimate Std. Error t value Pr(>|t|)
## (Intercept) 5.102658 0.199740 25.546 <2e-16 ***
## pred -0.006632 0.004357 -1.522 0.13
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Residual standard error: 0.6806 on 146 degrees of freedom
## Multiple R-squared: 0.01562, Adjusted R-squared: 0.008877
## F-statistic: 2.317 on 1 and 146 DF, p-value: 0.1302
##
##
##
## (5-m) Ma tunnen, et ühiskonnas toetatakse piisavalt viipekeele arendamist
##
## Call:
## lm(formula = likert ~ pred, data = df)
##
## Residuals:
## Min 1Q Median 3Q Max
## -2.6420 -1.0004 -0.2517 1.4881 1.8429
##
## Coefficients:
## Estimate Std. Error t value Pr(>|t|)
## (Intercept) 3.902206 0.404224 9.654 <2e-16 ***
## pred -0.011827 0.008894 -1.330 0.186
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Residual standard error: 1.324 on 138 degrees of freedom
## Multiple R-squared: 0.01265, Adjusted R-squared: 0.005496
## F-statistic: 1.768 on 1 and 138 DF, p-value: 0.1858
##
##
##
## (5-k) Viipekeele kasutajate jaoks on oluline, et nad saaksid edasi anda oma keeleoskust tulevastele põlvkondadele.
##
## Call:
## lm(formula = likert ~ pred, data = df)
##
## Residuals:
## Min 1Q Median 3Q Max
## -3.7225 0.1943 0.2158 0.2529 0.3361
##
## Coefficients:
## Estimate Std. Error t value Pr(>|t|)
## (Intercept) 4.907499 0.221794 22.126 <2e-16 ***
## pred -0.003084 0.004873 -0.633 0.528
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Residual standard error: 0.7256 on 143 degrees of freedom
## Multiple R-squared: 0.002793, Adjusted R-squared: -0.004181
## F-statistic: 0.4005 on 1 and 143 DF, p-value: 0.5278
##
##
##
## (5-i) Viipekeeli peaks koolis õpetama.
##
## Call:
## lm(formula = likert ~ pred, data = df)
##
## Residuals:
## Min 1Q Median 3Q Max
## -3.4734 -0.0013 0.2378 0.4905 1.0138
##
## Coefficients:
## Estimate Std. Error t value Pr(>|t|)
## (Intercept) 5.411829 0.245575 22.037 < 2e-16 ***
## pred -0.018046 0.005356 -3.369 0.000971 ***
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Residual standard error: 0.8314 on 142 degrees of freedom
## Multiple R-squared: 0.07402, Adjusted R-squared: 0.0675
## F-statistic: 11.35 on 1 and 142 DF, p-value: 0.0009709
Hearing status
##
##
## (11-e) Oskan eesti viipekeelt piisavalt, et seda igas olukorras kasutada
##
## Call:
## lm(formula = likert ~ pred, data = df)
##
## Residuals:
## Min 1Q Median 3Q Max
## -3.0694 -0.5556 0.4444 0.9306 1.4444
##
## Coefficients:
## Estimate Std. Error t value Pr(>|t|)
## (Intercept) 4.0694 0.1508 26.985 <2e-16 ***
## pred(13-b) vaegkuulja -0.5139 0.2612 -1.967 0.0512 .
## pred(13-c) kuulja -0.1079 0.2928 -0.369 0.7131
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Residual standard error: 1.28 on 131 degrees of freedom
## Multiple R-squared: 0.02907, Adjusted R-squared: 0.01425
## F-statistic: 1.961 on 2 and 131 DF, p-value: 0.1448
##
##
##
## (11-h) Ma arvan, et enda väljendamiseks eesti keeles on mul rohkem sõnavara kui eesti viipekeeles
##
## Call:
## lm(formula = likert ~ pred, data = df)
##
## Residuals:
## Min 1Q Median 3Q Max
## -3.0833 -1.2424 0.3056 0.9167 2.3056
##
## Coefficients:
## Estimate Std. Error t value Pr(>|t|)
## (Intercept) 2.6944 0.1657 16.258 < 2e-16 ***
## pred(13-b) vaegkuulja 0.5480 0.2956 1.854 0.0661 .
## pred(13-c) kuulja 1.3889 0.3315 4.190 5.2e-05 ***
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Residual standard error: 1.406 on 126 degrees of freedom
## Multiple R-squared: 0.1254, Adjusted R-squared: 0.1115
## F-statistic: 9.029 on 2 and 126 DF, p-value: 0.0002165
##
##
##
## (11-m) Viipekeelse emakeelega inimesed on keeleliselt halvemas olukorras kui eestikeelsed inimesed
##
## Call:
## lm(formula = likert ~ pred, data = df)
##
## Residuals:
## Min 1Q Median 3Q Max
## -2.6786 -1.1539 0.3214 0.8461 1.8461
##
## Coefficients:
## Estimate Std. Error t value Pr(>|t|)
## (Intercept) 3.1538 0.1690 18.667 < 2e-16 ***
## pred(13-b) vaegkuulja 0.5247 0.3079 1.704 0.091086 .
## pred(13-c) kuulja 1.1378 0.3254 3.497 0.000671 ***
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Residual standard error: 1.362 on 114 degrees of freedom
## Multiple R-squared: 0.1008, Adjusted R-squared: 0.08499
## F-statistic: 6.387 on 2 and 114 DF, p-value: 0.002348
##
##
##
## (11-j) Minu eesti keele sõnavara ei ole alati piisav et end selgelt väljendada
##
## Call:
## lm(formula = likert ~ pred, data = df)
##
## Residuals:
## Min 1Q Median 3Q Max
## -2.27778 -1.04167 -0.04167 0.81944 2.95833
##
## Coefficients:
## Estimate Std. Error t value Pr(>|t|)
## (Intercept) 3.2778 0.1563 20.969 < 2e-16 ***
## pred(13-b) vaegkuulja -0.3889 0.2708 -1.436 0.153330
## pred(13-c) kuulja -1.2361 0.3126 -3.954 0.000126 ***
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Residual standard error: 1.326 on 129 degrees of freedom
## Multiple R-squared: 0.1087, Adjusted R-squared: 0.09485
## F-statistic: 7.864 on 2 and 129 DF, p-value: 0.0005991
##
##
##
## (11-g) Minu arvates on viipekeel midagi enamat kui keel, kuna see on osa kultuurist
##
## Call:
## lm(formula = likert ~ pred, data = df)
##
## Residuals:
## Min 1Q Median 3Q Max
## -3.6364 -0.4730 0.5270 0.5270 0.5897
##
## Coefficients:
## Estimate Std. Error t value Pr(>|t|)
## (Intercept) 4.47297 0.11579 38.629 <2e-16 ***
## pred(13-b) vaegkuulja -0.06272 0.19710 -0.318 0.751
## pred(13-c) kuulja 0.16339 0.24189 0.675 0.501
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Residual standard error: 0.9961 on 132 degrees of freedom
## Multiple R-squared: 0.00555, Adjusted R-squared: -0.009517
## F-statistic: 0.3683 on 2 and 132 DF, p-value: 0.6926
##
##
##
## (11-k) Ma tunnen end mugavalt suheldes eesti keeles kuulja inimesega
##
## Call:
## lm(formula = likert ~ pred, data = df)
##
## Residuals:
## Min 1Q Median 3Q Max
## -3.6538 -0.7342 0.2658 0.7632 2.2658
##
## Coefficients:
## Estimate Std. Error t value Pr(>|t|)
## (Intercept) 2.7342 0.1480 18.478 < 2e-16 ***
## pred(13-b) vaegkuulja 0.5027 0.2596 1.936 0.0549 .
## pred(13-c) kuulja 1.9197 0.2974 6.456 1.65e-09 ***
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Residual standard error: 1.315 on 140 degrees of freedom
## Multiple R-squared: 0.2294, Adjusted R-squared: 0.2184
## F-statistic: 20.84 on 2 and 140 DF, p-value: 1.192e-08
##
##
##
## (11-d) Minu eesti viipekeele viipevara on piiratum kui eesti keele sõnavara
##
## Call:
## lm(formula = likert ~ pred, data = df)
##
## Residuals:
## Min 1Q Median 3Q Max
## -2.8261 -1.6769 0.3231 1.2858 2.3231
##
## Coefficients:
## Estimate Std. Error t value Pr(>|t|)
## (Intercept) 2.6769 0.1848 14.486 < 2e-16 ***
## pred(13-b) vaegkuulja 0.5878 0.3153 1.864 0.06478 .
## pred(13-c) kuulja 1.1492 0.3615 3.179 0.00188 **
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Residual standard error: 1.49 on 119 degrees of freedom
## Multiple R-squared: 0.08476, Adjusted R-squared: 0.06938
## F-statistic: 5.51 on 2 and 119 DF, p-value: 0.005145
##
##
##
## (11-c) Ma tunnen end mugavalt kui kirjutan eesti keeles
##
## Call:
## lm(formula = likert ~ pred, data = df)
##
## Residuals:
## Min 1Q Median 3Q Max
## -3.4800 -0.7027 0.2973 0.8052 1.8052
##
## Coefficients:
## Estimate Std. Error t value Pr(>|t|)
## (Intercept) 3.1948 0.1436 22.243 < 2e-16 ***
## pred(13-b) vaegkuulja 0.5079 0.2521 2.014 0.0459 *
## pred(13-c) kuulja 1.2852 0.2901 4.430 1.92e-05 ***
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Residual standard error: 1.26 on 136 degrees of freedom
## Multiple R-squared: 0.1296, Adjusted R-squared: 0.1168
## F-statistic: 10.13 on 2 and 136 DF, p-value: 7.93e-05
##
##
##
## (11-a) Ma tunnen end mugavalt, kui väljendan end eesti viipekeeles
##
## Call:
## lm(formula = likert ~ pred, data = df)
##
## Residuals:
## Min 1Q Median 3Q Max
## -3.3125 -0.3125 0.6875 0.6875 1.1538
##
## Coefficients:
## Estimate Std. Error t value Pr(>|t|)
## (Intercept) 4.3125 0.1430 30.166 <2e-16 ***
## pred(13-b) vaegkuulja -0.1774 0.2542 -0.698 0.487
## pred(13-c) kuulja -0.4663 0.2887 -1.616 0.108
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Residual standard error: 1.279 on 140 degrees of freedom
## Multiple R-squared: 0.01876, Adjusted R-squared: 0.004743
## F-statistic: 1.338 on 2 and 140 DF, p-value: 0.2656
##
##
##
## (11-l) Ma tunnen end mugavalt suheldes eesti viipekeeles viipekeelse inimesega
##
## Call:
## lm(formula = likert ~ pred, data = df)
##
## Residuals:
## Min 1Q Median 3Q Max
## -3.3735 -0.0526 0.6265 0.6265 1.0385
##
## Coefficients:
## Estimate Std. Error t value Pr(>|t|)
## (Intercept) 4.3735 0.1430 30.592 <2e-16 ***
## pred(13-b) vaegkuulja -0.3209 0.2551 -1.258 0.211
## pred(13-c) kuulja -0.4120 0.2927 -1.407 0.161
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Residual standard error: 1.302 on 144 degrees of freedom
## Multiple R-squared: 0.0191, Adjusted R-squared: 0.005474
## F-statistic: 1.402 on 2 and 144 DF, p-value: 0.2495
##
##
##
## (11-i) Minu eesti viipekeele viipevara ei ole alati piisav, et end selgelt väljendada
##
## Call:
## lm(formula = likert ~ pred, data = df)
##
## Residuals:
## Min 1Q Median 3Q Max
## -2.2222 -1.8873 0.1127 1.1127 2.1127
##
## Coefficients:
## Estimate Std. Error t value Pr(>|t|)
## (Intercept) 2.88732 0.17526 16.474 <2e-16 ***
## pred(13-b) vaegkuulja 0.33490 0.30215 1.108 0.270
## pred(13-c) kuulja 0.02934 0.34869 0.084 0.933
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Residual standard error: 1.477 on 128 degrees of freedom
## Multiple R-squared: 0.009984, Adjusted R-squared: -0.005485
## F-statistic: 0.6455 on 2 and 128 DF, p-value: 0.5261
##
##
##
## (11-f) Tunnen end mugavalt kasutades samaaegselt eesti viipekeel ja eesti keelt
##
## Call:
## lm(formula = likert ~ pred, data = df)
##
## Residuals:
## Min 1Q Median 3Q Max
## -2.600 -1.150 0.400 1.400 1.667
##
## Coefficients:
## Estimate Std. Error t value Pr(>|t|)
## (Intercept) 3.4225 0.1615 21.198 <2e-16 ***
## pred(13-b) vaegkuulja 0.1775 0.2810 0.632 0.529
## pred(13-c) kuulja -0.0892 0.3212 -0.278 0.782
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Residual standard error: 1.36 on 127 degrees of freedom
## Multiple R-squared: 0.004935, Adjusted R-squared: -0.01074
## F-statistic: 0.3149 on 2 and 127 DF, p-value: 0.7304
##
##
##
## (11-b) Ma tunnen end mugavalt, kui väljendan end suuliselt eesti keeles
##
## Call:
## lm(formula = likert ~ pred, data = df)
##
## Residuals:
## Min 1Q Median 3Q Max
## -3.5769 -0.5789 0.4211 0.4667 2.4667
##
## Coefficients:
## Estimate Std. Error t value Pr(>|t|)
## (Intercept) 2.5333 0.1470 17.239 < 2e-16 ***
## pred(13-b) vaegkuulja 1.0456 0.2534 4.126 6.39e-05 ***
## pred(13-c) kuulja 2.0436 0.2896 7.056 7.95e-11 ***
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Residual standard error: 1.273 on 136 degrees of freedom
## Multiple R-squared: 0.2857, Adjusted R-squared: 0.2751
## F-statistic: 27.19 on 2 and 136 DF, p-value: 1.164e-10
##
##
##
## (5-e) See ei ole minu jaoks probleem, kui ma näen, et inimesed laenavad viipekeelses vestluses teiste viipekeelte viipeid.
##
## Call:
## lm(formula = likert ~ pred, data = df)
##
## Residuals:
## Min 1Q Median 3Q Max
## -2.7391 -0.7353 0.2647 1.2647 1.4933
##
## Coefficients:
## Estimate Std. Error t value Pr(>|t|)
## (Intercept) 3.5067 0.1514 23.160 <2e-16 ***
## pred(13-b) vaegkuulja 0.2286 0.2711 0.843 0.401
## pred(13-c) kuulja 0.2325 0.3125 0.744 0.458
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Residual standard error: 1.311 on 129 degrees of freedom
## Multiple R-squared: 0.007678, Adjusted R-squared: -0.007707
## F-statistic: 0.499 on 2 and 129 DF, p-value: 0.6083
##
##
##
## (5-l) Viipekeele kasutamine on tugev osa minu, kui viipekeelse kurdi identiteedist.
##
## Call:
## lm(formula = likert ~ pred, data = df)
##
## Residuals:
## Min 1Q Median 3Q Max
## -3.7222 -0.2222 0.2778 0.2778 1.7778
##
## Coefficients:
## Estimate Std. Error t value Pr(>|t|)
## (Intercept) 4.7222 0.1123 42.059 < 2e-16 ***
## pred(13-b) vaegkuulja -0.5722 0.1879 -3.046 0.00286 **
## pred(13-c) kuulja -1.5000 0.3368 -4.453 1.93e-05 ***
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Residual standard error: 0.9527 on 118 degrees of freedom
## Multiple R-squared: 0.173, Adjusted R-squared: 0.159
## F-statistic: 12.34 on 2 and 118 DF, p-value: 1.358e-05
##
##
##
## (5-a) Viipekeelsete kurtide kultuur saab edasi kesta ka ilma viipekeeleta.
##
## Call:
## lm(formula = likert ~ pred, data = df)
##
## Residuals:
## Min 1Q Median 3Q Max
## -0.4865 -0.4400 -0.4054 -0.4054 3.5946
##
## Coefficients:
## Estimate Std. Error t value Pr(>|t|)
## (Intercept) 1.40541 0.13191 10.655 <2e-16 ***
## pred(13-b) vaegkuulja 0.08108 0.22847 0.355 0.723
## pred(13-c) kuulja 0.03459 0.26249 0.132 0.895
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Residual standard error: 1.135 on 133 degrees of freedom
## Multiple R-squared: 0.0009529, Adjusted R-squared: -0.01407
## F-statistic: 0.06343 on 2 and 133 DF, p-value: 0.9386
##
##
##
## (5-f) Ma muudan oma viiplemise stiili, kui vestlusesse liitub kuulja inimene
##
## Call:
## lm(formula = likert ~ pred, data = df)
##
## Residuals:
## Min 1Q Median 3Q Max
## -2.600 -0.600 0.400 1.400 1.765
##
## Coefficients:
## Estimate Std. Error t value Pr(>|t|)
## (Intercept) 3.27778 0.16594 19.752 <2e-16 ***
## pred(13-b) vaegkuulja 0.32222 0.29015 1.111 0.269
## pred(13-c) kuulja -0.04248 0.37969 -0.112 0.911
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Residual standard error: 1.408 on 121 degrees of freedom
## Multiple R-squared: 0.0114, Adjusted R-squared: -0.004942
## F-statistic: 0.6976 on 2 and 121 DF, p-value: 0.4998
##
##
##
## (5-n) Viipekeelte kasutamine aitab viipekeelsetel kurtidel lastel ja viipekeelsetel kurtide perest pärit kuuljatel lastel (CODA) koolis paremini hakkama saamist, edu saavutamist
##
## Call:
## lm(formula = likert ~ pred, data = df)
##
## Residuals:
## Min 1Q Median 3Q Max
## -3.4928 -0.4817 0.5072 0.5072 0.5294
##
## Coefficients:
## Estimate Std. Error t value Pr(>|t|)
## (Intercept) 4.49275 0.09987 44.985 <2e-16 ***
## pred(13-b) vaegkuulja -0.02217 0.17383 -0.128 0.899
## pred(13-c) kuulja 0.13225 0.19660 0.673 0.502
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Residual standard error: 0.8296 on 124 degrees of freedom
## Multiple R-squared: 0.004553, Adjusted R-squared: -0.0115
## F-statistic: 0.2836 on 2 and 124 DF, p-value: 0.7536
##
##
##
## (5-j) Minu koolis õpetatakse/õpetati viipekeeli
##
## Call:
## lm(formula = likert ~ pred, data = df)
##
## Residuals:
## Min 1Q Median 3Q Max
## -2.6795 -1.6795 0.1351 1.3205 3.3043
##
## Coefficients:
## Estimate Std. Error t value Pr(>|t|)
## (Intercept) 3.6795 0.1930 19.066 < 2e-16 ***
## pred(13-b) vaegkuulja -0.8146 0.3402 -2.394 0.018 *
## pred(13-c) kuulja -1.9838 0.4044 -4.905 2.64e-06 ***
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Residual standard error: 1.704 on 135 degrees of freedom
## Multiple R-squared: 0.1578, Adjusted R-squared: 0.1453
## F-statistic: 12.65 on 2 and 135 DF, p-value: 9.251e-06
##
##
##
## (5-h) Minu kogukonnas toetakse piisavalt palju viipekeelte kasutamist.
##
## Call:
## lm(formula = likert ~ pred, data = df)
##
## Residuals:
## Min 1Q Median 3Q Max
## -3.3514 -0.3514 0.6486 0.8590 1.2727
##
## Coefficients:
## Estimate Std. Error t value Pr(>|t|)
## (Intercept) 4.1410 0.1291 32.072 <2e-16 ***
## pred(13-b) vaegkuulja 0.2103 0.2276 0.924 0.357
## pred(13-c) kuulja -0.4138 0.2753 -1.503 0.135
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Residual standard error: 1.14 on 134 degrees of freedom
## Multiple R-squared: 0.03001, Adjusted R-squared: 0.01553
## F-statistic: 2.073 on 2 and 134 DF, p-value: 0.1299
##
##
##
## (5-d) See on hea tunne, kui ma saan suhelda viipekeeles.
##
## Call:
## lm(formula = likert ~ pred, data = df)
##
## Residuals:
## Min 1Q Median 3Q Max
## -3.9036 0.0964 0.0964 0.2500 0.5385
##
## Coefficients:
## Estimate Std. Error t value Pr(>|t|)
## (Intercept) 4.90361 0.06371 76.965 < 2e-16 ***
## pred(13-b) vaegkuulja -0.15361 0.11172 -1.375 0.171256
## pred(13-c) kuulja -0.44208 0.13045 -3.389 0.000903 ***
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Residual standard error: 0.5804 on 146 degrees of freedom
## Multiple R-squared: 0.07411, Adjusted R-squared: 0.06142
## F-statistic: 5.843 on 2 and 146 DF, p-value: 0.003622
##
##
##
## (5-o) Ainult viipekeelsed kurdid peaksid viipekeeli õpetama.
##
## Call:
## lm(formula = likert ~ pred, data = df)
##
## Residuals:
## Min 1Q Median 3Q Max
## -2.8442 -0.8102 0.1558 1.1558 2.2917
##
## Coefficients:
## Estimate Std. Error t value Pr(>|t|)
## (Intercept) 3.8442 0.1555 24.717 < 2e-16 ***
## pred(13-b) vaegkuulja -0.6623 0.2840 -2.333 0.0212 *
## pred(13-c) kuulja -2.1358 0.3191 -6.694 5.76e-10 ***
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Residual standard error: 1.365 on 131 degrees of freedom
## Multiple R-squared: 0.2562, Adjusted R-squared: 0.2449
## F-statistic: 22.57 on 2 and 131 DF, p-value: 3.791e-09
##
##
##
## (5-c) Minu jaoks on oluline kasutada viipekeelt iga päev.
##
## Call:
## lm(formula = likert ~ pred, data = df)
##
## Residuals:
## Min 1Q Median 3Q Max
## -3.8750 0.1250 0.1250 0.5359 1.5217
##
## Coefficients:
## Estimate Std. Error t value Pr(>|t|)
## (Intercept) 4.87500 0.09928 49.104 < 2e-16 ***
## pred(13-b) vaegkuulja -0.42500 0.17195 -2.472 0.0147 *
## pred(13-c) kuulja -1.39674 0.21009 -6.648 6.13e-10 ***
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Residual standard error: 0.888 on 140 degrees of freedom
## Multiple R-squared: 0.2419, Adjusted R-squared: 0.231
## F-statistic: 22.33 on 2 and 140 DF, p-value: 3.818e-09
##
##
##
## (5-p) Viipekeelsete kurtide vanemate kuuljad lapsed (CODA) peaksid õpetama viipekeeli.
##
## Call:
## lm(formula = likert ~ pred, data = df)
##
## Residuals:
## Min 1Q Median 3Q Max
## -3.1250 -1.1250 0.5789 0.8750 2.5789
##
## Coefficients:
## Estimate Std. Error t value Pr(>|t|)
## (Intercept) 4.12500 0.13683 30.147 < 2e-16 ***
## pred(13-b) vaegkuulja -0.05357 0.25858 -0.207 0.836
## pred(13-c) kuulja -1.70395 0.29944 -5.690 9.68e-08 ***
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Residual standard error: 1.161 on 116 degrees of freedom
## Multiple R-squared: 0.2258, Adjusted R-squared: 0.2124
## F-statistic: 16.92 on 2 and 116 DF, p-value: 3.578e-07
##
##
##
## (5-g) Olen kogenud olukordasid, kus viipekeeles suhtlemine tekitab minus halva, ebamugava tunde.
##
## Call:
## lm(formula = likert ~ pred, data = df)
##
## Residuals:
## Min 1Q Median 3Q Max
## -1.92754 -1.48000 0.07246 1.07246 2.52000
##
## Coefficients:
## Estimate Std. Error t value Pr(>|t|)
## (Intercept) 2.9275 0.1742 16.802 <2e-16 ***
## pred(13-b) vaegkuulja -0.4140 0.2949 -1.404 0.163
## pred(13-c) kuulja -0.4475 0.3379 -1.325 0.188
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Residual standard error: 1.447 on 128 degrees of freedom
## Multiple R-squared: 0.02184, Adjusted R-squared: 0.006554
## F-statistic: 1.429 on 2 and 128 DF, p-value: 0.2434
##
##
##
## (5-b) Viipekeele hoidmine on minu jaoks oluline.
##
## Call:
## lm(formula = likert ~ pred, data = df)
##
## Residuals:
## Min 1Q Median 3Q Max
## -3.8659 0.1341 0.1341 0.2000 0.3462
##
## Coefficients:
## Estimate Std. Error t value Pr(>|t|)
## (Intercept) 4.86585 0.07552 64.433 <2e-16 ***
## pred(13-b) vaegkuulja -0.06585 0.13189 -0.499 0.618
## pred(13-c) kuulja -0.21201 0.15391 -1.377 0.170
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Residual standard error: 0.6838 on 145 degrees of freedom
## Multiple R-squared: 0.01301, Adjusted R-squared: -0.0006055
## F-statistic: 0.9555 on 2 and 145 DF, p-value: 0.387
##
##
##
## (5-m) Ma tunnen, et ühiskonnas toetatakse piisavalt viipekeele arendamist
##
## Call:
## lm(formula = likert ~ pred, data = df)
##
## Residuals:
## Min 1Q Median 3Q Max
## -2.6053 -0.6053 0.3947 1.3947 2.6667
##
## Coefficients:
## Estimate Std. Error t value Pr(>|t|)
## (Intercept) 3.602564 0.141213 25.511 < 2e-16 ***
## pred(13-b) vaegkuulja 0.002699 0.246725 0.011 0.991
## pred(13-c) kuulja -1.269231 0.291119 -4.360 2.54e-05 ***
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Residual standard error: 1.247 on 137 degrees of freedom
## Multiple R-squared: 0.1308, Adjusted R-squared: 0.1182
## F-statistic: 10.31 on 2 and 137 DF, p-value: 6.732e-05
##
##
##
## (5-k) Viipekeele kasutajate jaoks on oluline, et nad saaksid edasi anda oma keeleoskust tulevastele põlvkondadele.
##
## Call:
## lm(formula = likert ~ pred, data = df)
##
## Residuals:
## Min 1Q Median 3Q Max
## -3.7625 0.1923 0.2308 0.2375 0.2375
##
## Coefficients:
## Estimate Std. Error t value Pr(>|t|)
## (Intercept) 4.762500 0.081496 58.438 <2e-16 ***
## pred(13-b) vaegkuulja 0.006731 0.142357 0.047 0.962
## pred(13-c) kuulja 0.045192 0.164552 0.275 0.784
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Residual standard error: 0.7289 on 142 degrees of freedom
## Multiple R-squared: 0.000538, Adjusted R-squared: -0.01354
## F-statistic: 0.03822 on 2 and 142 DF, p-value: 0.9625
##
##
##
## (5-i) Viipekeeli peaks koolis õpetama.
##
## Call:
## lm(formula = likert ~ pred, data = df)
##
## Residuals:
## Min 1Q Median 3Q Max
## -3.7901 0.2099 0.2099 0.3684 0.9600
##
## Coefficients:
## Estimate Std. Error t value Pr(>|t|)
## (Intercept) 4.79012 0.09132 52.457 < 2e-16 ***
## pred(13-b) vaegkuulja -0.15854 0.16159 -0.981 0.328211
## pred(13-c) kuulja -0.75012 0.18803 -3.989 0.000106 ***
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Residual standard error: 0.8218 on 141 degrees of freedom
## Multiple R-squared: 0.1015, Adjusted R-squared: 0.08876
## F-statistic: 7.965 on 2 and 141 DF, p-value: 0.0005283
Education
##
##
## (11-e) Oskan eesti viipekeelt piisavalt, et seda igas olukorras kasutada
##
## Call:
## lm(formula = likert ~ pred, data = df)
##
## Residuals:
## Min 1Q Median 3Q Max
## -3.1333 -0.7317 0.2683 0.8667 1.2683
##
## Coefficients:
## Estimate Std. Error t value Pr(>|t|)
## (Intercept) 4.1333 0.1929 21.428 <2e-16 ***
## predNon-higher -0.4016 0.2401 -1.673 0.0968 .
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Residual standard error: 1.294 on 125 degrees of freedom
## Multiple R-squared: 0.0219, Adjusted R-squared: 0.01408
## F-statistic: 2.799 on 1 and 125 DF, p-value: 0.09682
##
##
##
## (11-h) Ma arvan, et enda väljendamiseks eesti keeles on mul rohkem sõnavara kui eesti viipekeeles
##
## Call:
## lm(formula = likert ~ pred, data = df)
##
## Residuals:
## Min 1Q Median 3Q Max
## -2.42857 -0.91358 0.08642 1.57143 2.08642
##
## Coefficients:
## Estimate Std. Error t value Pr(>|t|)
## (Intercept) 3.4286 0.2291 14.967 <2e-16 ***
## predNon-higher -0.5150 0.2823 -1.824 0.0706 .
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Residual standard error: 1.485 on 121 degrees of freedom
## Multiple R-squared: 0.02677, Adjusted R-squared: 0.01873
## F-statistic: 3.328 on 1 and 121 DF, p-value: 0.07056
##
##
##
## (11-m) Viipekeelse emakeelega inimesed on keeleliselt halvemas olukorras kui eestikeelsed inimesed
##
## Call:
## lm(formula = likert ~ pred, data = df)
##
## Residuals:
## Min 1Q Median 3Q Max
## -2.93182 -0.93182 0.06818 1.06818 1.72059
##
## Coefficients:
## Estimate Std. Error t value Pr(>|t|)
## (Intercept) 3.9318 0.2075 18.944 <2e-16 ***
## predNon-higher -0.6524 0.2664 -2.449 0.0159 *
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Residual standard error: 1.377 on 110 degrees of freedom
## Multiple R-squared: 0.05172, Adjusted R-squared: 0.0431
## F-statistic: 5.999 on 1 and 110 DF, p-value: 0.01589
##
##
##
## (11-j) Minu eesti keele sõnavara ei ole alati piisav et end selgelt väljendada
##
## Call:
## lm(formula = likert ~ pred, data = df)
##
## Residuals:
## Min 1Q Median 3Q Max
## -2.2927 -1.2727 -0.2727 0.7223 2.7273
##
## Coefficients:
## Estimate Std. Error t value Pr(>|t|)
## (Intercept) 2.2727 0.1979 11.484 < 2e-16 ***
## predNon-higher 1.0200 0.2453 4.158 5.95e-05 ***
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Residual standard error: 1.313 on 124 degrees of freedom
## Multiple R-squared: 0.1223, Adjusted R-squared: 0.1153
## F-statistic: 17.29 on 1 and 124 DF, p-value: 5.954e-05
##
##
##
## (11-g) Minu arvates on viipekeel midagi enamat kui keel, kuna see on osa kultuurist
##
## Call:
## lm(formula = likert ~ pred, data = df)
##
## Residuals:
## Min 1Q Median 3Q Max
## -3.6750 -0.4382 0.3250 0.5618 0.5618
##
## Coefficients:
## Estimate Std. Error t value Pr(>|t|)
## (Intercept) 4.6750 0.1476 31.672 <2e-16 ***
## predNon-higher -0.2368 0.1777 -1.332 0.185
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Residual standard error: 0.9336 on 127 degrees of freedom
## Multiple R-squared: 0.01379, Adjusted R-squared: 0.006022
## F-statistic: 1.776 on 1 and 127 DF, p-value: 0.1851
##
##
##
## (11-k) Ma tunnen end mugavalt suheldes eesti keeles kuulja inimesega
##
## Call:
## lm(formula = likert ~ pred, data = df)
##
## Residuals:
## Min 1Q Median 3Q Max
## -2.7609 -0.8989 0.1011 1.2391 2.1011
##
## Coefficients:
## Estimate Std. Error t value Pr(>|t|)
## (Intercept) 3.7609 0.2118 17.756 < 2e-16 ***
## predNon-higher -0.8620 0.2609 -3.304 0.00122 **
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Residual standard error: 1.437 on 133 degrees of freedom
## Multiple R-squared: 0.07587, Adjusted R-squared: 0.06892
## F-statistic: 10.92 on 1 and 133 DF, p-value: 0.001223
##
##
##
## (11-d) Minu eesti viipekeele viipevara on piiratum kui eesti keele sõnavara
##
## Call:
## lm(formula = likert ~ pred, data = df)
##
## Residuals:
## Min 1Q Median 3Q Max
## -2.23810 -1.95946 0.04054 1.22088 2.04054
##
## Coefficients:
## Estimate Std. Error t value Pr(>|t|)
## (Intercept) 3.2381 0.2368 13.67 <2e-16 ***
## predNon-higher -0.2786 0.2965 -0.94 0.349
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Residual standard error: 1.535 on 114 degrees of freedom
## Multiple R-squared: 0.007688, Adjusted R-squared: -0.001017
## F-statistic: 0.8832 on 1 and 114 DF, p-value: 0.3493
##
##
##
## (11-c) Ma tunnen end mugavalt kui kirjutan eesti keeles
##
## Call:
## lm(formula = likert ~ pred, data = df)
##
## Residuals:
## Min 1Q Median 3Q Max
## -3.1778 -1.1778 -0.1778 0.8222 1.7907
##
## Coefficients:
## Estimate Std. Error t value Pr(>|t|)
## (Intercept) 4.1778 0.1906 21.923 < 2e-16 ***
## predNon-higher -0.9685 0.2352 -4.118 6.79e-05 ***
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Residual standard error: 1.278 on 129 degrees of freedom
## Multiple R-squared: 0.1162, Adjusted R-squared: 0.1093
## F-statistic: 16.96 on 1 and 129 DF, p-value: 6.787e-05
##
##
##
## (11-a) Ma tunnen end mugavalt, kui väljendan end eesti viipekeeles
##
## Call:
## lm(formula = likert ~ pred, data = df)
##
## Residuals:
## Min 1Q Median 3Q Max
## -3.2088 -0.2088 0.7912 0.7912 0.8889
##
## Coefficients:
## Estimate Std. Error t value Pr(>|t|)
## (Intercept) 4.11111 0.19251 21.355 <2e-16 ***
## predNon-higher 0.09768 0.23535 0.415 0.679
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Residual standard error: 1.291 on 134 degrees of freedom
## Multiple R-squared: 0.001284, Adjusted R-squared: -0.006169
## F-statistic: 0.1723 on 1 and 134 DF, p-value: 0.6788
##
##
##
## (11-l) Ma tunnen end mugavalt suheldes eesti viipekeeles viipekeelse inimesega
##
## Call:
## lm(formula = likert ~ pred, data = df)
##
## Residuals:
## Min 1Q Median 3Q Max
## -3.2473 -0.2473 0.7527 0.7527 0.8696
##
## Coefficients:
## Estimate Std. Error t value Pr(>|t|)
## (Intercept) 4.1304 0.1929 21.411 <2e-16 ***
## predNon-higher 0.1169 0.2358 0.496 0.621
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Residual standard error: 1.308 on 137 degrees of freedom
## Multiple R-squared: 0.001789, Adjusted R-squared: -0.005497
## F-statistic: 0.2456 on 1 and 137 DF, p-value: 0.621
##
##
##
## (11-i) Minu eesti viipekeele viipevara ei ole alati piisav, et end selgelt väljendada
##
## Call:
## lm(formula = likert ~ pred, data = df)
##
## Residuals:
## Min 1Q Median 3Q Max
## -2.0864 -1.8182 0.1818 1.1818 2.1818
##
## Coefficients:
## Estimate Std. Error t value Pr(>|t|)
## (Intercept) 2.8182 0.2213 12.737 <2e-16 ***
## predNon-higher 0.2682 0.2749 0.976 0.331
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Residual standard error: 1.468 on 123 degrees of freedom
## Multiple R-squared: 0.007684, Adjusted R-squared: -0.0003839
## F-statistic: 0.9524 on 1 and 123 DF, p-value: 0.331
##
##
##
## (11-f) Tunnen end mugavalt kasutades samaaegselt eesti viipekeel ja eesti keelt
##
## Call:
## lm(formula = likert ~ pred, data = df)
##
## Residuals:
## Min 1Q Median 3Q Max
## -2.4625 -1.3256 0.5375 1.5375 1.6744
##
## Coefficients:
## Estimate Std. Error t value Pr(>|t|)
## (Intercept) 3.3256 0.2044 16.27 <2e-16 ***
## predNon-higher 0.1369 0.2534 0.54 0.59
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Residual standard error: 1.34 on 121 degrees of freedom
## Multiple R-squared: 0.002407, Adjusted R-squared: -0.005838
## F-statistic: 0.2919 on 1 and 121 DF, p-value: 0.59
##
##
##
## (11-b) Ma tunnen end mugavalt, kui väljendan end suuliselt eesti keeles
##
## Call:
## lm(formula = likert ~ pred, data = df)
##
## Residuals:
## Min 1Q Median 3Q Max
## -2.7333 -0.8965 0.1034 1.2667 2.1035
##
## Coefficients:
## Estimate Std. Error t value Pr(>|t|)
## (Intercept) 3.7333 0.2176 17.161 < 2e-16 ***
## predNon-higher -0.8368 0.2680 -3.123 0.00221 **
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Residual standard error: 1.459 on 130 degrees of freedom
## Multiple R-squared: 0.06977, Adjusted R-squared: 0.06262
## F-statistic: 9.751 on 1 and 130 DF, p-value: 0.00221
##
##
##
## (5-e) See ei ole minu jaoks probleem, kui ma näen, et inimesed laenavad viipekeelses vestluses teiste viipekeelte viipeid.
##
## Call:
## lm(formula = likert ~ pred, data = df)
##
## Residuals:
## Min 1Q Median 3Q Max
## -2.6824 -0.6824 0.3176 1.3176 1.4286
##
## Coefficients:
## Estimate Std. Error t value Pr(>|t|)
## (Intercept) 3.5714 0.2013 17.743 <2e-16 ***
## predNon-higher 0.1109 0.2460 0.451 0.653
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Residual standard error: 1.304 on 125 degrees of freedom
## Multiple R-squared: 0.001623, Adjusted R-squared: -0.006364
## F-statistic: 0.2033 on 1 and 125 DF, p-value: 0.6529
##
##
##
## (5-l) Viipekeele kasutamine on tugev osa minu, kui viipekeelse kurdi identiteedist.
##
## Call:
## lm(formula = likert ~ pred, data = df)
##
## Residuals:
## Min 1Q Median 3Q Max
## -3.5412 -0.5412 0.4588 0.4588 0.9000
##
## Coefficients:
## Estimate Std. Error t value Pr(>|t|)
## (Intercept) 4.1000 0.1896 21.630 <2e-16 ***
## predNon-higher 0.4412 0.2205 2.001 0.0478 *
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Residual standard error: 1.038 on 113 degrees of freedom
## Multiple R-squared: 0.03422, Adjusted R-squared: 0.02567
## F-statistic: 4.004 on 1 and 113 DF, p-value: 0.04779
##
##
##
## (5-a) Viipekeelsete kurtide kultuur saab edasi kesta ka ilma viipekeeleta.
##
## Call:
## lm(formula = likert ~ pred, data = df)
##
## Residuals:
## Min 1Q Median 3Q Max
## -0.4824 -0.4824 -0.4824 -0.2222 3.7778
##
## Coefficients:
## Estimate Std. Error t value Pr(>|t|)
## (Intercept) 1.2222 0.1576 7.757 2.39e-12 ***
## predNon-higher 0.2601 0.1949 1.335 0.184
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Residual standard error: 1.057 on 128 degrees of freedom
## Multiple R-squared: 0.01373, Adjusted R-squared: 0.006027
## F-statistic: 1.782 on 1 and 128 DF, p-value: 0.1843
##
##
##
## (5-f) Ma muudan oma viiplemise stiili, kui vestlusesse liitub kuulja inimene
##
## Call:
## lm(formula = likert ~ pred, data = df)
##
## Residuals:
## Min 1Q Median 3Q Max
## -2.3889 -0.3889 0.6111 1.6111 1.6309
##
## Coefficients:
## Estimate Std. Error t value Pr(>|t|)
## (Intercept) 3.38889 0.23476 14.436 <2e-16 ***
## predNon-higher -0.01984 0.28059 -0.071 0.944
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Residual standard error: 1.409 on 118 degrees of freedom
## Multiple R-squared: 4.237e-05, Adjusted R-squared: -0.008432
## F-statistic: 0.005 on 1 and 118 DF, p-value: 0.9437
##
##
##
## (5-n) Viipekeelte kasutamine aitab viipekeelsetel kurtidel lastel ja viipekeelsetel kurtide perest pärit kuuljatel lastel (CODA) koolis paremini hakkama saamist, edu saavutamist
##
## Call:
## lm(formula = likert ~ pred, data = df)
##
## Residuals:
## Min 1Q Median 3Q Max
## -3.4625 -0.4625 0.4146 0.5375 0.5375
##
## Coefficients:
## Estimate Std. Error t value Pr(>|t|)
## (Intercept) 4.5854 0.1295 35.405 <2e-16 ***
## predNon-higher -0.1229 0.1593 -0.771 0.442
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Residual standard error: 0.8293 on 119 degrees of freedom
## Multiple R-squared: 0.004975, Adjusted R-squared: -0.003386
## F-statistic: 0.595 on 1 and 119 DF, p-value: 0.442
##
##
##
## (5-j) Minu koolis õpetatakse/õpetati viipekeeli
##
## Call:
## lm(formula = likert ~ pred, data = df)
##
## Residuals:
## Min 1Q Median 3Q Max
## -2.42 -1.50 0.50 1.58 2.50
##
## Coefficients:
## Estimate Std. Error t value Pr(>|t|)
## (Intercept) 2.5000 0.2724 9.178 8.74e-16 ***
## predNon-higher 0.9205 0.3336 2.759 0.00664 **
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Residual standard error: 1.807 on 130 degrees of freedom
## Multiple R-squared: 0.05531, Adjusted R-squared: 0.04805
## F-statistic: 7.612 on 1 and 130 DF, p-value: 0.006636
##
##
##
## (5-h) Minu kogukonnas toetakse piisavalt palju viipekeelte kasutamist.
##
## Call:
## lm(formula = likert ~ pred, data = df)
##
## Residuals:
## Min 1Q Median 3Q Max
## -3.2472 -0.6837 0.7528 0.7528 1.1707
##
## Coefficients:
## Estimate Std. Error t value Pr(>|t|)
## (Intercept) 3.8293 0.1802 21.253 <2e-16 ***
## predNon-higher 0.4179 0.2178 1.919 0.0572 .
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Residual standard error: 1.154 on 128 degrees of freedom
## Multiple R-squared: 0.02797, Adjusted R-squared: 0.02038
## F-statistic: 3.683 on 1 and 128 DF, p-value: 0.05718
##
##
##
## (5-d) See on hea tunne, kui ma saan suhelda viipekeeles.
##
## Call:
## lm(formula = likert ~ pred, data = df)
##
## Residuals:
## Min 1Q Median 3Q Max
## -3.8632 0.1368 0.1368 0.1368 0.4130
##
## Coefficients:
## Estimate Std. Error t value Pr(>|t|)
## (Intercept) 4.58696 0.08876 51.679 <2e-16 ***
## predNon-higher 0.27620 0.10813 2.554 0.0117 *
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Residual standard error: 0.602 on 139 degrees of freedom
## Multiple R-squared: 0.04483, Adjusted R-squared: 0.03796
## F-statistic: 6.524 on 1 and 139 DF, p-value: 0.01172
##
##
##
## (5-o) Ainult viipekeelsed kurdid peaksid viipekeeli õpetama.
##
## Call:
## lm(formula = likert ~ pred, data = df)
##
## Residuals:
## Min 1Q Median 3Q Max
## -2.6591 -1.5000 0.3409 1.3409 2.5000
##
## Coefficients:
## Estimate Std. Error t value Pr(>|t|)
## (Intercept) 2.5000 0.2275 10.988 < 2e-16 ***
## predNon-higher 1.1591 0.2765 4.192 5.13e-05 ***
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Residual standard error: 1.474 on 128 degrees of freedom
## Multiple R-squared: 0.1207, Adjusted R-squared: 0.1138
## F-statistic: 17.57 on 1 and 128 DF, p-value: 5.127e-05
##
##
##
## (5-c) Minu jaoks on oluline kasutada viipekeelt iga päev.
##
## Call:
## lm(formula = likert ~ pred, data = df)
##
## Residuals:
## Min 1Q Median 3Q Max
## -3.7234 0.2766 0.2766 0.2766 0.9286
##
## Coefficients:
## Estimate Std. Error t value Pr(>|t|)
## (Intercept) 4.0714 0.1529 26.626 < 2e-16 ***
## predNon-higher 0.6520 0.1839 3.545 0.000542 ***
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Residual standard error: 0.991 on 134 degrees of freedom
## Multiple R-squared: 0.08573, Adjusted R-squared: 0.07891
## F-statistic: 12.57 on 1 and 134 DF, p-value: 0.0005418
##
##
##
## (5-p) Viipekeelsete kurtide vanemate kuuljad lapsed (CODA) peaksid õpetama viipekeeli.
##
## Call:
## lm(formula = likert ~ pred, data = df)
##
## Residuals:
## Min 1Q Median 3Q Max
## -3.08537 -1.08537 -0.08537 0.91463 1.76471
##
## Coefficients:
## Estimate Std. Error t value Pr(>|t|)
## (Intercept) 3.2353 0.2170 14.909 < 2e-16 ***
## predNon-higher 0.8501 0.2581 3.294 0.00132 **
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Residual standard error: 1.265 on 114 degrees of freedom
## Multiple R-squared: 0.08689, Adjusted R-squared: 0.07888
## F-statistic: 10.85 on 1 and 114 DF, p-value: 0.001318
##
##
##
## (5-g) Olen kogenud olukordasid, kus viipekeeles suhtlemine tekitab minus halva, ebamugava tunde.
##
## Call:
## lm(formula = likert ~ pred, data = df)
##
## Residuals:
## Min 1Q Median 3Q Max
## -1.8354 -1.4889 0.1646 1.1646 2.5111
##
## Coefficients:
## Estimate Std. Error t value Pr(>|t|)
## (Intercept) 2.4889 0.2193 11.348 <2e-16 ***
## predNon-higher 0.3466 0.2748 1.261 0.21
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Residual standard error: 1.471 on 122 degrees of freedom
## Multiple R-squared: 0.01287, Adjusted R-squared: 0.004778
## F-statistic: 1.591 on 1 and 122 DF, p-value: 0.2097
##
##
##
## (5-b) Viipekeele hoidmine on minu jaoks oluline.
##
## Call:
## lm(formula = likert ~ pred, data = df)
##
## Residuals:
## Min 1Q Median 3Q Max
## -3.8511 0.1489 0.1489 0.3043 0.3043
##
## Coefficients:
## Estimate Std. Error t value Pr(>|t|)
## (Intercept) 4.6957 0.1032 45.485 <2e-16 ***
## predNon-higher 0.1554 0.1260 1.234 0.219
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Residual standard error: 0.7002 on 138 degrees of freedom
## Multiple R-squared: 0.01091, Adjusted R-squared: 0.003739
## F-statistic: 1.522 on 1 and 138 DF, p-value: 0.2195
##
##
##
## (5-m) Ma tunnen, et ühiskonnas toetatakse piisavalt viipekeele arendamist
##
## Call:
## lm(formula = likert ~ pred, data = df)
##
## Residuals:
## Min 1Q Median 3Q Max
## -2.7045 -0.7046 0.2954 1.2954 2.4222
##
## Coefficients:
## Estimate Std. Error t value Pr(>|t|)
## (Intercept) 2.5778 0.1811 14.236 < 2e-16 ***
## predNon-higher 1.1268 0.2226 5.062 1.38e-06 ***
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Residual standard error: 1.215 on 131 degrees of freedom
## Multiple R-squared: 0.1636, Adjusted R-squared: 0.1572
## F-statistic: 25.62 on 1 and 131 DF, p-value: 1.378e-06
##
##
##
## (5-k) Viipekeele kasutajate jaoks on oluline, et nad saaksid edasi anda oma keeleoskust tulevastele põlvkondadele.
##
## Call:
## lm(formula = likert ~ pred, data = df)
##
## Residuals:
## Min 1Q Median 3Q Max
## -3.6739 0.0652 0.3261 0.3261 0.3261
##
## Coefficients:
## Estimate Std. Error t value Pr(>|t|)
## (Intercept) 4.9348 0.1080 45.676 <2e-16 ***
## predNon-higher -0.2609 0.1323 -1.972 0.0507 .
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Residual standard error: 0.7328 on 136 degrees of freedom
## Multiple R-squared: 0.02779, Adjusted R-squared: 0.02064
## F-statistic: 3.887 on 1 and 136 DF, p-value: 0.05069
##
##
##
## (5-i) Viipekeeli peaks koolis õpetama.
##
## Call:
## lm(formula = likert ~ pred, data = df)
##
## Residuals:
## Min 1Q Median 3Q Max
## -3.6452 0.3548 0.3548 0.3548 0.4889
##
## Coefficients:
## Estimate Std. Error t value Pr(>|t|)
## (Intercept) 4.5111 0.1307 34.517 <2e-16 ***
## predNon-higher 0.1341 0.1592 0.842 0.401
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Residual standard error: 0.8767 on 136 degrees of freedom
## Multiple R-squared: 0.005186, Adjusted R-squared: -0.002129
## F-statistic: 0.709 on 1 and 136 DF, p-value: 0.4013
